* denotes student authors


  • Wu, W., 2019. Accounting for spatial patterns in deriving sea-level rise thresholds for salt marsh stability: more than just total area? Ecological Indicators 103, 260-271. Download before June 2, 2019,XRNLcrYJ


  • Wright, L.D., W. Wu, J. Morris, 2018. Chapter 9: Coastal erosion and land loss: causes and impacts. In Tomorrow’s Coasts: Complex and Impermanent (eds: Wright, L.D., Nichols C.R.), Coastal Research Library, volume 27 (Senior ed: C.W. Finkl). Springer, Switzerland. Pp 137-150.
  • Wright, L.D., W. Wu, 2018. Chapter 12: Pearl river delta and Guangzhou (Canton) China. In Tomorrow’s Coasts: Complex and Impermanent (eds: Wright, L.D., Nichols C.R.), Coastal Research Library, volume 27 (Senior ed: C.W. Finkl). Springer, Switzerland. Pp 193-206.
  • Wu, W., M. Bethel, D. Mishra, T. Hardy*, 2018. Model selection in Bayesian framework to identify the best WorldView-2 based vegetation index in predicting green biomass of salt marshes in the northern Gulf of Mexico. GISceince & Remote Sensing
  • Adams, G*., R. Leaf, W. Wu, F. Hernandez, 2018. Environmentally-driven fluctuations in condition factor of adult gulf menhaden (Brevoortia patronus) in the northern Gulf of Mexico. ICES Journal of Marine Science. Doi: 10.1093/icesjms/fsy002.


  • Wu, W, P. Biber, M. Bethel, 2017. Thresholds of sea-level rise rate and sea-level rise acceleration rate in a vulnerable coastal wetland. Ecology and Evolution 7(24), 10890-10903, doi: 10.1002/ece3.3550. Click to download


  • Wu, W., H. Huang*, P. Biber, M. Bethel, 2016. Litter decomposition of Spartina alterniflora and Juncus roemerianus: implications of climate change in salt marshes. Journal of Coastal Research 33(2), 372-384, doi:


  • Li, Y.F., Y. Li*, W. Wu, 2015. Threshold and resilience management of coupled urbanization and water environmental system in the rapidly changing coastal region. Environmental Pollution, doi: 10.1016/j.envpol.2015.08.042.
  • Wu, W, K. Yeager, R. Fulford, M. Peterson, 2015. Neutral models as a way to evaluate the Sea Level Affecting Marshes Model (SLAMM). Ecological Modelling 303, 55-69.


  • Gong, C., and W. Wu, 2014. Comparison of regression tree models for sub-pixel imperviousness estimation in a Gulf Coast city of Mississippi, USA. International Journal of Remote Sensing 35(10), 3722-3740.
  • Biber, P. D., W.  Wu, M. S. Peterson, Z. Liu, and L. Pham*, 2014. Oil contamination in Mississippi saltmarsh habitats and the impacts to Spartina alterniflora photosynthesis. In B. Alford, M.S. Peterson and C. Green (eds). Impacts of Oil Spill Disasters on Marine Habitats and Fisheries in North America. Boca Raton, FL: CRC Press.
  • Wang, Z., Z. Liu, K. Xu, L.M. Mayer, Z. Zhang, A.S. Kolker, and W.  Wu, 2014. Concentration and sources of polycyclic aromatic hydrocarbons in surface coastal sediments of the northern Gulf of Mexico. Journal of Geochemical Transactions15:2.
  • Hallock Jr., J.L., W.  Wu, C.A.S. Hall, and M. Jefferson, 2014. Forecast the limits to the availability and diversity of global convention oil supply: validation. Energy 64, 130-153.
  • Fulford, R.S., M.S. Peterson, W.  Wu, and P.O, Grammer, 2014. An ecological model of the habitat mosaic in estuarine nursery areas: Part II – Projecting effects of sea level rise on fish production. Ecological Modelling 273, 96-108.
  • Wu, W., J. Clark, and J. Vose, 2014. Response of streamflow to climate change in the southern Appalachian Mountains using Bayesian inference. Hydrological Processes 28(4), 1616-1625, DOI: 10.1002/hyp.9677. Article first published online on Feb. 4 2013.


  • Lash-Marshall, W.*, C.A.S. Hall, and W. Wu, 2013. Using gradient analysis to simulate the spatial structure and function of the Luquillo Experimental Forest. Ecological Bulletins 54, 223-232.
  • Wu, W., and L. Zhang, 2013. Comparison of spatial and non-spatial logistic regression models for modeling the occurrence of cloud cover in north-eastern Puerto Rico. Applied Geography 37, 52-62.


  • Wu, W., P. D. Biber, M. S. Peterson, and C. Gong, 2012. Modeling photosynthesis of Spartina alterniflora (smooth cordgrass) impacted by the Deepwater Horizon oil spill using Bayesian inference. Environmental Research Letters 7, 045302.
  • Liu, Z., J. Liu, Q. Zhu, and W. Wu, 2012. The weathering of oil after the Deepwater Horizon oil spill: insights from the chemical composition of the oil from the sea surface, salt marshes and sediments. Environmental Research Letters, 035302, 10.1088/1748-9326/7/3/035302.
  • Lowe, M.R.*, W.  Wu, M.S. Peterson, N.J. Brown-Peterson, W.T. Slack, and P.J. Schofield, 2012. Survival, growth and reproduction of non-native Nile tilapia (Oreochromis niloticus) II. Mapping its fundamental niche in the northern Gulf of Mexico. PLoS One 7(7), e41580. Doi: 10.1371/journal.pone.0041580.
  • Wu, W., J. Clark, and J. Vose, 2012. Application of a full hierarchical Bayesian model in assessing streamflow response to a climate change scenario at the Coweeta Basin, NC, USA. Journal of Resources and Ecology 3(2), 118-128.
  • McKinney, J.A.*, E.R. Hoffmayer, W.  Wu, R. Fulford, and J. Hendon, 2012. Feeding habitat of the whale shark Rhincodon typus in the northern Gulf of Mexico determined using Species distribution modelling. Marine Ecology Progress Series 458, 199-211. Doi: 10.3354/meps09777.
  • Harris, N.L., and W.  Wu, 2012. Chapter 7: Hydrology. In Harris N.L., Lugo, A.E., Brown, S., and Scalley T.H. (eds) Luquillo Experimental Forest: Research History and Opportunities. EFR-1. Washington, D.C: U.S. Department of Agriculture, pp. 50-55.


  • Wu, W., J. S. Clark, and J. M. Vose, 2010. Assimilating multi-source uncertainties of a parsimonious conceptual hydrological model using hierarchical Bayesian modeling. Journal of Hydrology 394, 436-446.
  • Wu, W., and C.T. Driscoll, 2010. Impact of climate change on three-dimensional dynamic critical load functions. Environmental Science & Technology 44, 720-726.


  • Wu, W., and C. T. Driscoll, 2009. Application of the PnET-BGC – an integrated biogeochemical model – to assess the surface water ANC recovery in the Adirondack region of New York under three multi-pollutant proposals. Journal of Hydrology 378, 299-312.


  • A. Brown, S. Spector, and W. Wu, 2008. Multi-scale analysis to species introductions: combining landscape and demographic models to improve management decisions about non-native species. Journal of Applied Ecology 45, 1639-1648. Doi: 10.1111/j.1365-2664.2008.01550.x.


  • Wu, W., C.A.S. Hall, and F. Scatena, 2007. Modeling the impact of recent land cover changes on the stream flows in North-Eastern Puerto Rico. Hydrological Processes 21, 2944-2956. DOI: 10.1002/hyp.6515.


  • Wu, W., C.A.S. Hall, F.N. Scatena, and L. Quackenbush, 2006. Spatial modeling of evapotranspiration in the Luquillo Experimental Forest of Puerto Rico using remote sensed data. Journal of Hydrology 328, 733-752.
  • Wu, W., C.A.S. Hall, and L. Zhang, 2006. Predicting the spatial and temporal probability of orographic cloud cover in the Luquillo Experimental Forest in Puerto Rico using generalized linear (mixed) models. Ecological Modelling 192 (3-4), 473-498.


  • Hallock Jr., J. L., P.J. Tharakan, C.A.S. Hall, M. Jefferson, and W.  Wu, 2004. Forecasting the availability and diversity of global oil supply. Energy 29(11), 1673-1696.


  • Wang, H., C.A.S. Hall, F.N. Scatena, N. Fetcher, and W.  Wu, 2003. Modeling the spatial and temporal variability in climate and primary productivity across the Luquillo Mountains, Puerto Rico. Forest Ecology and Management 179, 69-94.


  • Tao, C. Hu, and W. Wu, 2001. Studies on pathogenetic biology of vibriosis occurring in Penaeus monodon. Journal of Tropical Oceanography 20(2), 80-87 (in Chinese, English abstract).